AI Medical Compendium Journal:
The British journal of ophthalmology

Showing 51 to 60 of 77 articles

Prediction of causative genes in inherited retinal disorder from fundus photography and autofluorescence imaging using deep learning techniques.

The British journal of ophthalmology Apr 20, 2021
BACKGROUND/AIMS: To investigate the utility of a data-driven deep learning approach in patients with inherited retinal disorder (IRD) and to predict the causative genes based on fundus photography and fundus autofluorescence (FAF) imaging.
Humans Algorithms Prognosis Middle Aged Deep Learning Adolescent Child Follow-Up Studies Fundus Oculi Eye Proteins Retinal Diseases Aged, 80 and over Young Adult Adult Male Retrospective Studies Female Aged ATP-Binding Cassette Transporters Fluorescein Angiography Rod Cell Outer Segment
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Towards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography.

The British journal of ophthalmology Apr 12, 2021
AIMS: To validate a deep learning (DL) algorithm (DLA) for 360° angle assessment on swept-source optical coherence tomography (SS-OCT) (CASIA SS-1000, Tomey Corporation, Nagoya, Japan).
Humans Algorithms Female Reproducibility of Results Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Angle-Closure Cross-Sectional Studies Gonioscopy Intraocular Pressure Male Deep Learning
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Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography.

The British journal of ophthalmology Mar 30, 2021
AIM: To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography.
Photography Diabetic Retinopathy Sensitivity and Specificity Deep Learning ROC Curve Color Fundus Oculi Optic Nerve Diseases Humans
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Is artificial intelligence a solution to the myopia pandemic?

The British journal of ophthalmology Mar 12, 2021
Female Young Adult Adult Male Humans Artificial Intelligence Child Global Health Myopia Disease Outbreaks Adolescent
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Development and validation of a deep learning system to screen vision-threatening conditions in high myopia using optical coherence tomography images.

The British journal of ophthalmology Dec 21, 2020
BACKGROUND/AIMS: To apply deep learning technology to develop an artificial intelligence (AI) system that can identify vision-threatening conditions in high myopia patients based on optical coherence tomography (OCT) macular images.
Vision Disorders Tomography, Optical Coherence Humans Retina Cross-Sectional Studies Artificial Intelligence Prospective Studies Myopia Deep Learning
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Deep learning-based classification and segmentation of retinal cavitations on optical coherence tomography images of macular telangiectasia type 2.

The British journal of ophthalmology Nov 23, 2020
AIM: To develop a fully automatic algorithm to segment retinal cavitations on optical coherence tomography (OCT) images of macular telangiectasia type 2 (MacTel2).
Multicenter Studies as Topic Humans Clinical Trials, Phase II as Topic Deep Learning Tomography, Optical Coherence Retinal Telangiectasis Retina
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Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images.

The British journal of ophthalmology Sep 26, 2020
BACKGROUND/AIMS: Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angl...
Follow-Up Studies Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Angle-Closure Gonioscopy Intraocular Pressure Male Middle Aged Deep Learning Prospective Studies Female Reproducibility of Results Humans Algorithms
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Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images.

The British journal of ophthalmology Sep 16, 2020
BACKGROUND/AIMS: To develop a deep learning system for automated glaucomatous optic neuropathy (GON) detection using ultra-widefield fundus (UWF) images.
Humans Glaucoma Optic Disk Deep Learning Optic Nerve Diseases ROC Curve Fundus Oculi
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Generative adversarial networks to predict treatment response for neovascular age-related macular degeneration: interesting, but is it useful?

The British journal of ophthalmology Aug 29, 2020
Disease Management Aged Fluorescein Angiography Humans Male Machine Learning Wet Macular Degeneration Tomography, Optical Coherence Female Fundus Oculi
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Automated detection of early-stage ROP using a deep convolutional neural network.

The British journal of ophthalmology Aug 23, 2020
BACKGROUND/AIM: To automatically detect and classify the early stages of retinopathy of prematurity (ROP) using a deep convolutional neural network (CNN).
Cross-Sectional Studies Humans Male Neural Networks, Computer Diagnosis, Computer-Assisted Algorithms ROC Curve Retrospective Studies Gestational Age Image Processing, Computer-Assisted Retinopathy of Prematurity Birth Weight Infant, Premature Infant, Low Birth Weight Female Infant, Newborn Sensitivity and Specificity
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